# Exact Trial Lookup

**Use case:** 

Retrieve one or more normalized clinical-trial records by their exact ClinicalTrials.gov NCT identifiers.

## Input

```json
{
  "mode": "get",
  "nctIds": [
    "NCT01273766"
  ],
  "maxResults": 1,
  "pageSize": 100,
  "includeRaw": false,
  "snapshotOffset": 0,
  "cacheTtlSeconds": 900,
  "allowStaleCache": true
}
```

## Output

```json
{
  "nct_id": {
    "label": "NCT ID",
    "format": "string"
  },
  "updated_at": {
    "label": "Last updated",
    "format": "string"
  },
  "brief_title": {
    "label": "Brief title",
    "format": "string"
  },
  "official_title": {
    "label": "Official title",
    "format": "string"
  },
  "acronym": {
    "label": "Acronym",
    "format": "string"
  },
  "study_type": {
    "label": "Study type",
    "format": "string"
  },
  "overall_status": {
    "label": "Overall status",
    "format": "string"
  },
  "study_first_submit_date": {
    "label": "First submitted",
    "format": "string"
  },
  "start_date": {
    "label": "Start date",
    "format": "string"
  },
  "primary_completion_date": {
    "label": "Primary completion date",
    "format": "string"
  },
  "completion_date": {
    "label": "Completion date",
    "format": "string"
  },
  "phases": {
    "label": "Phases",
    "format": "array"
  },
  "enrollment_count": {
    "label": "Enrollment",
    "format": "number"
  },
  "minimum_age": {
    "label": "Minimum age",
    "format": "number"
  },
  "maximum_age": {
    "label": "Maximum age",
    "format": "number"
  },
  "sex": {
    "label": "Sex",
    "format": "string"
  },
  "healthy_volunteers": {
    "label": "Healthy volunteers",
    "format": "boolean"
  },
  "brief_summary": {
    "label": "Brief summary",
    "format": "string"
  },
  "detailed_description": {
    "label": "Detailed description",
    "format": "string"
  },
  "eligibility_criteria": {
    "label": "Eligibility criteria",
    "format": "string"
  },
  "lead_sponsor_name": {
    "label": "Lead sponsor",
    "format": "string"
  },
  "lead_sponsor_class": {
    "label": "Sponsor class",
    "format": "string"
  },
  "org_study_id_info": {
    "label": "Organization study ID",
    "format": "object"
  },
  "why_stopped": {
    "label": "Why stopped",
    "format": "string"
  },
  "expanded_access_info": {
    "label": "Expanded access",
    "format": "object"
  },
  "last_update_submit_qc_date": {
    "label": "Last QC date",
    "format": "string"
  },
  "last_update_post_date_struct": {
    "label": "Last posted date",
    "format": "object"
  },
  "study_first_post_date_struct": {
    "label": "First posted date",
    "format": "object"
  },
  "std_ages": {
    "label": "Standard ages",
    "format": "array"
  },
  "study_population": {
    "label": "Study population",
    "format": "string"
  },
  "sampling_method": {
    "label": "Sampling method",
    "format": "string"
  },
  "oversight_has_dmc": {
    "label": "Has data monitoring committee",
    "format": "boolean"
  },
  "design_info": {
    "label": "Study design",
    "format": "object"
  },
  "conditions": {
    "label": "Conditions",
    "format": "array"
  },
  "keywords": {
    "label": "Keywords",
    "format": "array"
  },
  "interventions": {
    "label": "Interventions",
    "format": "array"
  },
  "locations": {
    "label": "Locations",
    "format": "array"
  },
  "collaborators": {
    "label": "Collaborators",
    "format": "array"
  },
  "arm_groups": {
    "label": "Arm groups",
    "format": "array"
  },
  "outcomes": {
    "label": "Outcomes",
    "format": "object"
  },
  "overall_officials": {
    "label": "Study officials",
    "format": "array"
  },
  "study_references": {
    "label": "References",
    "format": "array"
  },
  "misc_info_module": {
    "label": "Miscellaneous registry information",
    "format": "object"
  },
  "condition_browse_module": {
    "label": "Condition ontology terms",
    "format": "object"
  },
  "intervention_browse_module": {
    "label": "Intervention ontology terms",
    "format": "object"
  },
  "mesh_terms": {
    "label": "MeSH terms",
    "format": "object"
  },
  "raw_record": {
    "label": "Raw source record",
    "format": "object"
  },
  "_provenance": {
    "label": "Data provenance",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Clinical Trial Data Search](https://apify.com/fetchfinch/clinical-trials-search.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fetchfinch/clinical-trials-search.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/fetchfinch/clinical-trials-search.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
